The use of Vis/NIRS and chemometric analysis to predict fruit defects and postharvest behaviour of 'Nules Clementine' mandarin fruit

Lembe Samukelo Magwaza; Sandra Landahl; Paul J R Cronje; Hélène H Nieuwoudt; Abdul Mounem Mouazen; Bart M Nicolaï; Leon A Terry; Umezuruike Linus Opara

doi:10.1016/j.foodchem.2014.04.085

The use of Vis/NIRS and chemometric analysis to predict fruit defects and postharvest behaviour of 'Nules Clementine' mandarin fruit

Food Chem. 2014 Nov 15:163:267-74. doi: 10.1016/j.foodchem.2014.04.085. Epub 2014 May 2.

Authors

Lembe Samukelo Magwaza¹, Sandra Landahl², Paul J R Cronje³, Hélène H Nieuwoudt⁴, Abdul Mounem Mouazen⁵, Bart M Nicolaï⁶, Leon A Terry², Umezuruike Linus Opara⁷

Affiliations

¹ Department of Crop Science, School of Agricultural, Earth and Environmental Sciences, University of KwaZulu-Natal, Private Bag X01, Scottsville, Pietermaritzburg 3209, South Africa. Electronic address: magwazal@ukzn.ac.za.
² Plant Science Laboratory, Cranfield University, Bedfordshire MK43 0AL, United Kingdom.
³ Citrus Research International, Department of Horticultural Science, Stellenbosch University, Stellenbosch 7602, South Africa.
⁴ Institute for Wine Biotechnology, Department of Viticulture and Oenology, Stellenbosch University, Stellenbosch 7602, South Africa.
⁵ Department of Environmental Science and Technology, Cranfield University, Bedfordshire MK43 0AL, United Kingdom.
⁶ MeBioS Division, Department of Biosystems, Katholieke Universiteit Leuven, Kasteelpark Arenberg 30, B-3001 Leuven, Belgium.
⁷ Postharvest Technology Research Laboratory, South African Research Chair in Postharvest Technology, Department of Food Science, Faculty of AgriSciences, Stellenbosch University, Private Bag X1, Matieland 7602, South Africa; Postharvest Technology Research Laboratory, South African Research Chair in Postharvest Technology, Department of Horticultural Science, Faculty of AgriSciences, Stellenbosch University, Private Bag X1, Stellenbosch 7602, South Africa. Electronic address: opara@sun.ac.za.

PMID: 24912725
DOI: 10.1016/j.foodchem.2014.04.085

Abstract

The use of chemometrics to analyse Vis/NIRS signal collected from intact 'Nules Clementine' mandarin fruit at harvest, to predict the rind physico-chemical profile after eight weeks postharvest was explored. Vis/NIRS signals of 150 fruit were obtained immediately after harvest. Reference data on the rind were obtained after eight-week storage, including colour index (CI), rind dry matter (DM), and concentration of sugars. Partial least squares (PLS) regression was applied to develop models. Principal component analysis (PCA) followed by PLS-discriminant analysis (PLS-DA) were used to classify fruit according to canopy position. Optimal PLS model performances for DM, sucrose, glucose and fructose were obtained using multiple scatter correction pre-processing, showing respective residual predictive deviation (RPD) of 3.39, 1.75, 2.19 and 3.08. Clusters of sample distribution in the PCA and PLS-DA models based on canopy position were obtained. The results demonstrated the potential applications of Vis/NIRS to predict postharvest behaviour of mandarin fruit.

Keywords: Citrus; Fructose (PubChem CID: 5984); Glucose (PubChem CID: 5793); Non-destructive; Postharvest technology; Rind breakdown; Rind physiological disorder; Spectral pre-processing; Sucrose (PubChem CID: 5988); Visible–NIR spectroscopy.

Publication types

Evaluation Study
Research Support, Non-U.S. Gov't

MeSH terms

Carbohydrates / analysis*
Chemistry Techniques, Analytical / methods*
Citrus / chemistry*
Discriminant Analysis
Fruit / chemistry*
Least-Squares Analysis
Plant Extracts / analysis*
Spectroscopy, Near-Infrared / methods*

Substances

Carbohydrates
Plant Extracts